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Jurnal Rekayasa Material, Manufaktur & Energi
Published by Universitas Muhammadiyah Sumatera Utara
ISSN : 26227398     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Aerospace Engineering Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Jurnal Rekayasa Material, Manufaktur & Energi, yang diterbitkan oleh Fakultas Teknik, Program Studi Teknik Mesin, Universitas Muhammadiyah Sumatera Utara (UMSU), Medan, Sumatera Utara, Indonesia, Jurnal Rekayasa Material, Manufaktur & Energi menerima artikel ilmiah hasil-hasil penelitian, dan eksperimen, yang mencakup pada bidang Rekayasa Material, Manufaktur dan Energi, Mesin, dan ilmu yang relevan pada sektor terkait.
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Articles 230 Documents
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Analisis Perpindahan Panas Pada Peralatan Pengering Multi Tingkat Secara Numerik Fikri, Thaharul; Syuhada, Ahmad; Thaib, Razali; Bahri, Samsul
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.25979

Abstract

Drying equipment is a device commonly used to remove moisture from various materials, particularly food products, to extend their shelf life and usability. However, in multi-tier drying systems, a common issue is the non-uniform temperature distribution between levels. This problem arises due to the uneven distribution of hot gas from the fuel source, causing the temperature on racks closer to the heat source to be higher than those on upper levels. To address this issue, heat ducts and fins were added to each level. The fins serve to evenly distribute heat from the hot gas channels throughout the drying chamber. Due to the high costs associated with experimental testing, this study adopts a numerical approach. The numerical simulation is conducted using Computational Fluid Dynamics (CFD) via SOLIDWORKS 2022 to analyze fluid flow and heat transfer within the dryer. The results indicate that the nine-level dryer remains operationally efficient, with the lowest temperature difference (∆T) recorded at 1.6°C when operating at 60°C.
Perancangan Pembangkit Listrik Tenaga Biogas Kotoran Sapi Di Desa Tanjung Baringin Simarulak Kabupaten Padang Lawas ., Rimbawati; Harahap, Partaonan; Mangopo, Dultudes
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.25276

Abstract

This study explores the feasibility of developing a Biogas Power Plant (PLTBg) utilizing cow manure as a renewable energy source in Tanjung Baringin Simarulak Village, Padang Lawas Regency, North Sumatra. The site, which hosts a government-managed cattle breeding center, generates a significant amount of organic waste that poses environmental challenges. Given the increasing demand for clean energy and the need to mitigate greenhouse gas emissions, biogas emerges as a promising alternative. The research adopts a descriptive approach with feasibility analysis, incorporating technical, financial, environmental, and social perspectives. Field observations and interviews with stakeholders, combined with secondary data, form the basis for evaluating project viability. The study estimates daily biogas production of approximately 75 m³ from 100 cows, which can generate around 120 kWh of electricity per day. Financial analysis shows a positive Net Present Value (NPV), an Internal Rate of Return (IRR) of 17.5%, a Profitability Index (PI) of 1.39, and a Payback Period (PBP) of 4.1 years.The findings indicate that the project is technically and economically feasible. It also offers environmental benefits by reducing methane emissions and turning waste into valuable energy and fertilizer. Socially, the project has the potential to reduce household energy costs and create new job opportunities in rural communities. Therefore, this biogas project is strongly recommended as a sustainable model for renewable energy development in Indonesia’s agricultural regions.
Machine Learning-Based Regression Model for Predicting Global Horizontal Radiation and Global Horizontal Irradiance: A Case Study in Banda Aceh Fajar Sabri, M Salamul; Muhammad, Ikramullah; Rizqullah, Akbar; Fikri, Thaharul; Fajri, Nural; Mizanus Sabri, Faris Ahmad
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.26011

Abstract

Global Horizontal Radiation (GHR) and Global Horizontal Illumination (GHI) are critical environmental parameters that play a vital role in solar energy development, precision agriculture, and sustainable urban planning. However, their prediction remains challenging due to the high variability caused by atmospheric conditions. This study evaluates the performance of various machine learning models in predicting GHR and GHI using a comprehensive dataset comprising 29 environmental features. The models tested include Linear Regression, Random Forest Regressor, XGBoost Regressor, LightGBM Regressor, Support Vector Regressor (SVR), and Artificial Neural Network (ANN). The results consistently show that ensemble-based models, particularly LightGBM Regressor, provide the best predictive performance for both target variables, achieving very high R-squared values (approaching 0.999). XGBoost and Random Forest also demonstrate highly competitive performance. ANN performs well, while Linear Regression and SVR show lower accuracy. These findings underscore the significant potential of advanced machine learning models in predicting environmental parameters with high accuracy, which has important implications for renewable energy optimization, smart agriculture, and sustainable urban planning.
Karakteristik Gugus Fungsi dan Kekuatan Impak Material Komposit Berpenguat Serat Serbuk Daun Nanas Tanjung, Iqbal; Lubis, Riadini Wanty; Nofri, Irfan; ., Affandi; Siregar, Chandra A; Siregar, Ahmad Marabdi; Efrida, Rizki
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.25533

Abstract

The objective of this study is to investigate the impact strength and functional group characteristics, as identified through FTIR spectroscopy, of composite materials reinforced with pineapple leaf powder fibers that have undergone physical property enhancement via alkali treatment (NaOH). A series of processes were conducted to produce the pineapple leaf powder, starting with drying fresh pineapple leaves until they turned brown. The dried leaves were then cleaned and soaked in a 5% NaOH solution for durations of 1, 3, 5, 7, and 9 hours to modify their physical properties. After treatment, the leaves were rinsed thoroughly and oven-dried at 60°C for 5 hours. The dried leaves were subsequently ground and sieved using a 150-mesh screen. This study involved two main observations: functional group analysis using FTIR spectroscopy and mechanical performance evaluation through impact testing. A total of 30 composite specimens were prepared and fabricated using a stepwise lamination method, following the ASTM D256 impact testing standard. The results indicate that alkali treatment progressively degraded the hemicellulose and lignin content in the pineapple leaf fibers, significantly enhancing the impact energy absorption of the composite material. However, extended treatment durations adversely affected the fiber quality, leading to structural damage and reduced interfacial cohesion between the composite components.
Modeling stress distribution analysis on plate with hole using new mesh method Mulyadi, Mulyadi
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.26091

Abstract

Stress concentration around circular holes in plates is a critical challenge in structural analysis. Traditional FEM requires fine meshes near discontinuities for accurate predictions, increasing computational cost. This study introduces a novel, adaptive, geometry-aware mesh method that refines only near the hole while keeping the rest of the mesh coarser. Simulations under uniaxial tension are compared to conventional mesh strategies and analytical solutions. Performance is evaluated by accuracy, convergence, and computational efficiency.
Effect of Spindle Speed on the Bending Test of Al-1100 in Fraction Stir Welding Joints Bintoro, Suryanto Agung; Nasution, Arya Rudi; ., Affandi; Siregar, Rahmat Fauzi; Harahap, Jagodang
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.25522

Abstract

Currently, in the industrial world, many products or components are required to have strong but light properties. Therefore, aluminum material is increasingly being chosen as the main material in the industrial production process. Aluminum and its alloys are classified as light metals that have high strength, corrosion resistance, fairly good electrical conductivity, and are lighter than iron or steel. However, aluminum has a weakness in its welding ability which is not good when compared to other metals. This problem can be overcome by the Solid-State Welding (SSW) welding method. SSW itself is a welding process carried out when the metal is still solid, meaning that the metal does not melt. One of the SSW methods that is often used is Friction Stir Welding (FSW), which is a solid-state welding technology that is very suitable for joining materials such as aluminum. FSW does not require additional materials, but instead utilizes the heat from friction between the probe and shoulder of the welding tool with the surface of the workpiece. This research on Friction Stir Welding aims to determine the effect of variations in feed rate on the strength of 1100 aluminum joints through tensile tests. The pin tool used is made of carbide, cylindrical in shape with a length of 100 mm and a diameter of 3 mm. The test specimen used was aluminum 1100 with a thickness of 3 mm, a length of 200 mm, and a width of 20 mm, and was made into 9 samples. The FSW welding process and the manufacture of test specimens were carried out according to the ASTM E8 standard. During the welding process, the pin tool rotated at 2200 Rpm, and the feedrates used were 50 mm/min, 100 mm/min, and 150 mm/min. After welding, a tensile test was carried out on the FSW joint results. There were nine tensile tests, with each feedrate parameter tested on three samples. The average tensile strength of the FSW joint on a 2200 Rpm spindle with a feedrate of 50 mm/min was 12.34 MPa, at a feedrate of 100 mm/min was 21.53 MPa, and at a feedrate of 150 mm/min was 29.21 MPa.
Tinjauan Penggerudian Laser: Kemajuan, Teknik Optimasi, dan Aplikasi Nasution, Abdul Haris; Ginting, Armansyah
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.25616

Abstract

This review paper presents a comprehensive analysis of laser drilling technologies, focusing on recent advancements, optimization techniques, and industrial applications. Laser drilling has emerged as a crucial non-conventional machining process for creating precise micro-holes in various materials, including composites, metals, ceramics, and silicon. The paper examines multiple aspects of laser drilling processes, including different laser types (CO2, Nd:YAG, fiber, femtosecond), optimization methodologies, and parameter influences on output quality characteristics. Special attention is given to challenges in drilling complex materials like Glass Fiber Reinforced Polymer (GFRP) composites, titanium alloys, stainless steel, and ceramic matrix composites. The review highlights optimization approaches such as Response Surface Methodology (RSM), Multi-Objective Genetic Algorithm (MOGA), and various metaheuristic algorithms including grey wolf optimizer. The paper also explores emerging techniques like water-assisted laser drilling, vector laser drilling, and laser-layered scanning that address limitations in conventional processes. Environmental and sustainability aspects are discussed, with emphasis on energy efficiency and reduced material waste. This review aims to provide researchers and industry practitioners with a comprehensive understanding of current laser drilling technologies, while identifying future research directions toward more efficient, sustainable, and high-quality laser drilling processes
Pengaruh Implementasi Sistem Robotik Berbasis Kecerdasan Buatan terhadap Kualitas Produk Pemesinan CNC Palungan, Musa Bondaris; Kendek, Yohanis Sampe
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.25524

Abstract

This study aims to evaluate the impact of implementing an artificial intelligence (AI)-based robotic system on the quality of CNC machining products at PT Evergrown Technology Batam. A quantitative method was employed using purposive sampling on 25 observation units. The quality parameters analyzed include surface roughness and product cylindricity. Data analysis techniques involved linear regression and ANOVA tests to determine the significance of relationships between variables. The findings indicate that the application of AI technology in robotic systems significantly reduces surface roughness (Y = 2.736 − 0.136X; p 0.001) and improves the cylindricity accuracy of the machined products (Y = 0.075 − 0.005X; p = 0.005). These results suggest that intelligent robotic systems make a substantial contribution to enhancing machining precision and overall product quality. Therefore, the implementation of such technology can serve as a strategic solution to improve quality outcomes in CNC-based manufacturing processes.
Perancangan Inovatif Bagian Badan Robot Medis Militer dalam Pemilihan Material dan Efisiensi Struktur Firmansyah, Muhammad Rheza; Aritonang, Sovian
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.22762

Abstract

This article discusses the innovative design of military medical robot bodies with an emphasis on selecting optimal materials and structures to improve durability and performance. Military medical robots are designed to support training activities and rescue operations. This study evaluated a number of materials, including carbon fiber, titanium, and composites selected based on strength, corrosion resistance, and ability to absorb impact. Additionally, the lightweight yet strong structure supports energy efficiency, allowing the robot to operate longer without needing frequent recharging. Tests show that the right combination of materials increases the robot's resistance to harsh terrain conditions and ensures the stability of the medical equipment inside. The selection of efficient materials and flexible structures in the body design of this military medical robot is expected to strengthen the effectiveness and safety for medical personnel and the TNI when operated.
Potensi Material Nano Dalam Menyerap Gelombang Radar (Stealth) : Revolusi Teknologi Militer Shafira, Nadia Icha; Aritonang, Sovian
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.22461

Abstract

The stealth capability in modern defense technology heavily relies on materials that can evade radar detection. Nano-based materials, such as graphene and carbon nanotubes (CNT), have emerged as innovative solutions with superior electromagnetic and physical properties. This study aims to analyze the potential and challenges of using nano materials in stealth technology, highlighting their ability to absorb radar waves through electron resonance interactions and high surface properties. Graphene, with its two-dimensional carbon atomic structure and high conductivity, and CNT, which features a nano-tube structure with exceptional thermal and mechanical properties, have been shown to significantly reduce radar reflection. However, challenges in mass production and material stability under extreme conditions still pose barriers. This study also compares the advantages of nano materials with conventional materials such as ferrite and heavy metals, showing that nano materials are lighter, more flexible, and more efficient. Through a review of current literature, this research reveals that nano materials have the potential to replace or complement conventional stealth materials in future military applications.

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